Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

Deep Learning and Reinforcement Learning Library for Scientists and Engineers

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data

iPython notebook and Android app that shows how to build LSTM model in TensorFlow and deploy it on Android

Automated Driving in NFS using CNN.

Simple Tensorflow tutorials for learning by example

CopyNet (Copy Mechanism in Seq2Seq) implementation with TensorFlow 2

친절한 한글 설명과 함께하는 텐서플로우 튜토리얼입니다!

Tutorial materials to help you understand how to use TensorFlow.

Intel-Tensorflow-course with my solutions

Since the origin iris sample doesn't work with the new tensorflow(like 1.0, 0.12), so here is the fix version of that.

📃 A curated list of awesome TensorFlow tutorial for beginner : https://tensorflow.studynote.life

Implementation of Model-based Reinforcement Learning Approach in Tensorflow

Implementation of Deep Recurrent Q-Networks for Partially Observable environment setting in Tensorflow

TensorFlow Tutorial

Learning Deep TensorFlow End-To-End Process

Fastest model building tutorial.

My experiment using data from Kaggle